Introductory Econometrics: A Modern Approach


Jeffrey M. Wooldridge - 1999
    It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

The Immune System


Peter Parham - 2004
    This class-tested and successful textbook synthesizes the established facts of immunology into a comprehensible, coherent, and up-to-date account of how the immune system works, rather than presenting immunology as a chronology of experiments and discoveries. Emphasizing the human immune system the text has been designed to break down the barriers which often divide basic and clinical immunology. The reader-friendly text, section and chapter summaries, and full-color illustrations make the book accessible and easily understandable to students. The Immune System is adapted from Immunobiology by Janeway, Travers & Walport.

Physics


Aristotle
    Now, in the first translation into English since 1930, Aristotle's thought is presented accurately, with a lucid introduction and extensive notes to explain the general structure of each section of the book, and shed light on particular problems. It simplifies and expands the style of the original, making for easier reading and better comprehension.

The Universe Next Door: A Journey Through 55 Alternative Realities, Parallel Worlds and Possible Futures


New Scientist - 2017
    But for a series of choices, accidents and coincidences - any of which could have gone otherwise - your life would have been very different. The same goes for reality. We live in just one of many possible worlds - but we can imagine parallel universes in which dinosaurs still rule the Earth, the Russians got to the moon first, everyone's a vegetarian or time itself flows backwards. And that's just for starters. What if the laws of physics were different? What if robots become smarter than us? Or, if every human on the planet simply vanished tomorrow? The answers to these questions aren't just fun to consider, but reveal deep truths about our own universe.Join New Scientist on a thrilling journey through dozens of incredible but perfectly possible alternative realities, thought experiments and counterfactual histories - each shining a surprising and unexpected spotlight on life as we know it.

Network Science


Albert-László Barabási
    

Integrating Educational Technology Into Teaching


Margaret D. Roblyer - 1996
    It shows teachers how to create an environment in which technology can effectively enhance learning. It contains a technology integration framework that builds on research and the TIP model.

Principles of Biochemistry


Albert L. Lehninger - 1970
    Lehninger Principles of Biochemistry, Fourth Edition brings clarity and coherence to an often unwieldy discipline, while incorporating the field's most important recent developments and applications.

The Sun, the Genome and the Internet: Tools of Scientific Revolutions


Freeman Dyson - 1999
    He shows rather that new tools are more often the sparks that ignite scientific discovery. Such tool-driven revolutions have profound social consequences--the invention of the telescope turning the Medieval world view upside down, the widespread use of household appliances in the 1950s replacing servants, to cite just two examples. In looking ahead, Dyson suggests that solar energy, genetics, and the Internet will have similarly transformative effects, with the potential to produce a more just and equitable society. Solar power could bring electricity to even the poorest, most remote areas of third world nations, allowing everyone access to the vast stores of information on the Internet and effectively ending the cultural isolation of the poorest countries. Similarly, breakthroughs in genetics may well enable us to give our children healthier lives and grow more efficient crops, thus restoring the economic and human vitality of village cultures devalued and dislocated by the global market.Written with passionate conviction about the ethical uses of science, The Sun, the Genome, and the Internet is both a brilliant reinterpretation of the scientific process and a challenge to use new technologies to close, rather than widen, the gap between rich and poor.

One Day University Presents: Positive Psychology: The Science of Happiness


One Day University - 2010
    He is also the Head Teaching Fellow for the most popular course at Harvard, “Positive Psychology,” which is taken by more than 1,000 students per semester and led by Professor Tal Ben-Shahar.  Shawn received his B.A. in English from Harvard and a Master’s from Harvard Divinity School in Christian and Buddhist Ethics. Part of his interest in positive psychology stems from a troubling fact: studies have shown that many of Harvard’s undergraduates suffer from depression at some point in their college careers. One Day University is a unique educational experience  that brings intellectuals together to learn from top rated professors at Yale, Harvard, Stanford, Columbia and other prestigious universities. Chosen for their excellent teaching abilities as rated by their students, these great thinkers represent a wide variety of academic disciplines and share their knowledge in 60 minute, highly entertaining lectures. Offering the ability to learn the highlights of academic thought in world affairs, politics, history, science, art, and more; One Day University is a way to truly enjoy the thrill of learning without the pressures of tests and the high price tag of college tuition. Once reserved only for students who could attend the lectures in New York and other major cities, One Day University courses are now available to everyone from the comfort of their own homes in Kindle format.

Poker's 1%: The One Big Secret That Keeps Elite Players On Top


Ed Miller - 2014
    Sure, they play in huge games where tens of thousands of dollars can move in the blink of an eye. But that's not the only difference. Elite players play and think about the game in a completely different way from everyone else. If you want to raise your game to their level, it's not just a matter of getting a little better at what you already do. The honest truth is that the way 99% of poker players approach the game is fundamentally flawed. You will never be able to crack the top 1% until you know what they know. There's one big secret to the game that nearly every elite player knows, yet almost no one else understands. It's an open secret-no one is hiding it. Elite players talk about it sometimes in videos and articles. Nevertheless, top players have known this secret for years, yet still almost no one else does. Poker's 1% seeks to change that. It bridges that gap between the elite players and everyone else. It promises that as long as you are willing to put in the work, you too have a shot to reach the top. Poker's 1% teaches a way of thinking about how you play, a way to unify every hand you've ever played and ever will play into one single, overarching strategy. The goal is that you will have one big "aha" moment, the moment where you finally "get" this game. After that, it's just fine tuning. The more you fine tune your strategy, the more you win, and the higher you can go. Poker's 1% gives you a unique window into the secrets of the world's best players. It shows you what you've been doing wrong and how to fix it. And, most importantly, it guides you in a straightforward way along the path from average player to elite.

The American Community College


Arthur M. Cohen - 1989
    Anyone who wants to understand these complex and dynamic institutions—how they are evolving, the contributions they make, the challenges they face, the students they serve, and the faculty and leaders who deliver the services and the curricula—will find The American Community College both essential reading and an important reference book."—George R. Boggs, president and CEO, American Association of Community Colleges"I have been a community college president for over forty-one years and a graduate professor for three decades. This book has been an inspiration to generations of students, faculty members, and administrators. It has become the classic of the field because it has great 'take-home' value to us all."—Joseph N. Hankin, president, Westchester Community College"In this latest edition of The American Community College, the authors continue to manifest their unique, highly knowledgeable perspective about the community college. This book is must-reading for all who desire to understand one of the most important educational institutions in the twenty-first century."—Barbara K. Townsend, professor and director, Center for Community College Research, College of Education, University of Missouri–Columbia"Cohen and Brawer's classic work is the touchstone for a comprehensive overview of the American community college. This is a seminal book for graduate students as well as seasoned professionals for understanding this uniquely American institution."—Charles R. Dassance, president, Central Florida Community College

Information Theory, Inference and Learning Algorithms


David J.C. MacKay - 2002
    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

Computers and Intractability: A Guide to the Theory of NP-Completeness


Michael R. Garey - 1979
    Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

An Introduction to Statistical Learning: With Applications in R


Gareth James - 2013
    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

The Knot Book: An Elementary Introduction to the Mathematical Theory of Knots


Colin Conrad Adams - 1994
    The study of knots has led to important applications in DNA research and the synthesis of new molecules, and has had a significant impact on statistical mechanics and quantum field theory. Colin Adams’s The Knot Book is the first book to make cutting-edge research in knot theory accessible to a non-specialist audience. Starting with the simplest knots, Adams guides readers through increasingly more intricate twists and turns of knot theory, exploring problems and theorems mathematicians can now solve, as well as those that remain open. He also explores how knot theory is providing important insights in biology, chemistry, physics, and other fields. The new paperback edition has been updated to include the latest research results, and includes hundreds of illustrations of knots, as well as worked examples, exercises and problems. With a simple piece of string, an elementary mathematical background, and The Knot Book, anyone can start learning about some of the most advanced ideas in contemporary mathematics.